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Record Nr. |
UNINA9910453312303321 |
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Titolo |
Automatic treatment and analysis of learner corpus data / / edited by Ana Díaz-Negrillo, Nicolas Ballier, Paul Thompson |
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Pubbl/distr/stampa |
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Amsterdam ; ; Philadelphia : , : John Benjamins Publishing Company, , [2013] |
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©2013 |
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ISBN |
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Descrizione fisica |
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1 online resource (320 p.) |
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Collana |
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Studies in corpus linguistics ; ; volume 59 |
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Altri autori (Persone) |
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BallierNicolas |
Díaz NegrilloAna |
ThompsonPaul |
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Disciplina |
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Soggetti |
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Corpora (Linguistics) |
Second language acquisition |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Automatic Treatment and Analysis of Learner Corpus Data; Editorial page; Title page; LCC data; Table of contents; Section 1. Introduction; Introduction; References; Learner corpora; 1. Introduction; 2. Corpora types, processing and annotation; 2.1 Types of learner corpora; 2.2 Annotation; 3. Uses and users of learner corpus data; 3.1 Overview; 3.2 Foreign language teaching; 3.3 Second language acquisition research; 3.4 Corpus and computational linguistics; 4. Looking forwards; References; Section 2. Compilation, annotation and exchangeability of learner corpus data |
Developing corpus interoperability for phonetic investigation of learner corpora1. Introduction; 2. Processing and annotating spoken data; 2.1 A tentative typology of spoken learner corpora; 2.2 Existing annotation layers in phonetic corpora, corpus comparability and interoperability; 2.3 Comparing with native corpora; 3. Some of the limits of automatisation; 3.1 The limits of phonetic annotation (forced alignments); 3.2 Some syllabification issues; 3.3 Prosodic annotation; 3.4 Speaker-dependent models?; 3.5 The uses of automation (caveats); |
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4. Challenges and recommendations |
4.1 Tokenisation and categorisation of realisations and learner phonetic errors4.2 Modelling; 4.3 Comparing with native data (corpus interoperability); 5. From spoken learner corpora to spoken learner databases; 5.1 Textual datasets; 5.2 XML and XML tools; 5.3 Working with customized interface of Praat; 5.4 An alternative stance: WinPitch; 5.5 An incoming mixed model?; 6. The advent of spoken databases vs. speech databases; References; Learner corpora and second language acquisition; 1. Introduction; 2. Learner corpora in SLA research; 2.1 A bias in second language research |
2.2 Corpora in language acquisition research2.3 An overview of learner corpora and learner corpus research; 2.4 L2 Spanish learner corpora: Introducing CEDEL2; 3. Design principles in learner corpora for SLA purposes: CEDEL2, a case study; 3.1 Principle 1. Content selection; 3.2 Principle 2. Representativeness; 3.3 Principle 3. Contrast; 3.4 Principle 4. Structural criteria; 3.5 Principle 5. Annotation; 3.6 Principle 6. Sample size; 3.7 Principle 7. Documentation; 3.8 Principle 8. Balance; 3.9 Principle 9. Topic; 3.10 Principle 10. Homogeneity; 3.11 Conclusion; 4. Current status of CEDEL2 |
4.1 Data collection4.2 Data distribution; 4.3 Source of data; 4.4 Preliminary segmentation and annotation; 4.5 CEDEL2: Next steps; 5. Learner corpora: The way forward; 6. Conclusion; References; Appendices; Competing target hypotheses in the Falko corpus; 1. Introduction: Why corpus architecture matters; 2. What kind of information should a learner corpus provide and what kind of data is needed?; 2.1 POS & lemmas; 2.2 Target hypotheses; Error exponent; Conflicting spans; 2.3 Stand-off models; 3. Case study: Falko; 3.1 Target hypotheses in the Falko essay corpus; 3.2 Automatic error tagging |
3.3 Manual error tagging |
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Sommario/riassunto |
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This paper is an overview of several basic statistical tools in corpus-based SLA research. I first discuss a few issues relevant to the analysis of learner corpus data. Then, I illustrate a few widespread quantitative techniques and statistical visualizations and exemplify them on the basis of corpus data on the genitive alternation - the of-genitive vs. the s-genitive from German learners and native speakers of English. The statistical methods discussed include a test for differences between frequencies (the chi-squared test), tests for differences between means/medians (the |
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2. |
Record Nr. |
UNIORUON00055398 |
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Autore |
POERBATJARAKA, R. M. Ng. |
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Titolo |
De Calon-Arang / R. M. Ng. Poerbatjaraka |
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Pubbl/distr/stampa |
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Edizione |
['s-Gravenhage : Bijdnagen tot Taal- Land en Volkenkunde] |
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Descrizione fisica |
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Estratto da: Bijdnagen tot Taal-Land en Volkenkunde, 1926 |
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Classificazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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